Soft Querying GeoJSON Documents within the J-CO Framework

Giuseppe Psaila, Stefania Marrara, Paolo Fosci

2020

Abstract

GeoJSON documents have become important sources of information over the Web, because they describe geographical information layers. Supposing to have such documents stored in some JSON store, the problem of querying them in a flexible and easy way arises. In this paper, we propose a soft-querying model to easily express queries on features (i.e., data items) within GeoJSON documents, based on linguistic predicates. These are fuzzy predicates that evaluate the membership degree to fuzzy sets; this way, imprecise conditions can be expressed and features can be ranked, accordingly. The paper presents a rewriting technique that translates soft queries on GeoJSON documents into fuzzy J-CO-QL queries: this is the query language of the J-CO Framework, an Internet-based framework able to get, manipulate and save collections of JSON documents in a way totally independent of the source JSON store.

Paper Citation

in Harvard Style

Psaila G., Marrara S. and Fosci P. (2020). Soft Querying GeoJSON Documents within the J-CO Framework.In Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-478-7, pages 253-265. DOI: 10.5220/0010155702530265

in Bibtex Style

@conference{webist20,
author={Giuseppe Psaila and Stefania Marrara and Paolo Fosci},
title={Soft Querying GeoJSON Documents within the J-CO Framework},
booktitle={Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2020},
pages={253-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010155702530265},
isbn={978-989-758-478-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Soft Querying GeoJSON Documents within the J-CO Framework
SN - 978-989-758-478-7
AU - Psaila G.
AU - Marrara S.
AU - Fosci P.
PY - 2020
SP - 253
EP - 265
DO - 10.5220/0010155702530265